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Paper Citation Record · LEDGER

From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.11011.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.11011 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:30:32.963985Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-30T13:24:40.774102Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6fcca39e-f30c-4c00-91dd-274bdbe60975 · inbound

Diffusion Counterfactual Generation with Semantic Abduction cites this paper.

Diffusion Counterfactual Generation with Semantic Abduction From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T05:30:32.963985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:30:32.963985Z digest=sha256:ee1d9052e20de85512291d55afccb62986551b70eb9906277c1d7314ff846226

Observation dc01c193-be73-4b90-8698-e672c701d5af · inbound

Factored Classifier-Free Guidance cites this paper.

Factored Classifier-Free Guidance From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:16.840044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:27:27.500706Z digest=sha256:85fb521b97de3972c245f51727599d7971d75be1eb381c69e483cd0b580af9f3

Observation ac049285-ff96-435c-962b-36d428911b5e · inbound

Causal Time Series Generation via Diffusion Models cites this paper.

Causal Time Series Generation via Diffusion Models From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:46:29.311101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T14:45:29.515515Z digest=sha256:3ffb6051d8fea3c44fc5b962b1cf4f33b1efe67cc5fd0bf126e17efd231d97d3

Observation 0ea10254-07b5-46c2-ba8d-2c53f061536c · inbound

Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations cites this paper.

Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T20:23:55.124342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:23:55.124342Z digest=sha256:9993a2d40ce3d636b08255bccfa153e6fd274d673fb7b7d4a7ef0cbc3fbe0484

Observation 059123e0-bc5c-4c37-b03b-d7fe3bfd5694 · inbound

A Neuroimaging Simulation Framework for Developing and Evaluating Causal AI cites this paper.

A Neuroimaging Simulation Framework for Developing and Evaluating Causal AI From Identifiable Causal Representations to Controllable Counterfactual Generation: A Survey on Causal Generative Modeling

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:24:40.775681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T09:09:30.695363Z digest=sha256:f352d69e4539111021223b80528965aa9256f28fa2cc80366cbb80b0e879022c